Evidence map›Paper›PMID 33480108›Full record

ArticleMagnetic resonance in medicine2021

FMRI based on transition-band balanced SSFP in comparison with EPI on a high-performance 0.55 T scanner.

Yicun Wang, Peter van Gelderen, Jacco A de Zwart, Adrienne E Campbell-Washburn, Jeff H Duyn

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yicun WangAdvanced MRI Section, Laboratory of Functional and Molecular Imaging, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, USA.ORCID 0000-0002-4037-3288
Peter van GelderenAdvanced MRI Section, Laboratory of Functional and Molecular Imaging, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, USA.ORCID 0000-0001-8117-8270
Jacco A de ZwartAdvanced MRI Section, Laboratory of Functional and Molecular Imaging, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, USA.ORCID 0000-0001-8155-8185
Adrienne E Campbell-WashburnCardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA.ORCID 0000-0002-7169-5693
Jeff H DuynAdvanced MRI Section, Laboratory of Functional and Molecular Imaging, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, USA.

Funding

Magnetic Resonance Imaging Technology DevelopmentZIANS002990 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI DUYN, JEFF · 2009 to 2025
$25.5M
Innovative Technology for MRI Guided ProceduresZIAHL006213 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI CAMPBELL-WASHBURN, ADRIENNE · 2016 to 2025
$5.4M
Magnetic Resonance Imaging of Human Brain Anatomy and FunctionZ01NS003027 · NINDS · NEUROLOGICAL DISORDERS AND STROKE · PI DUYN, JOZEF H · 2007 to 2008
$2.4M
Intramural NIH HHS Z01 NS003027Intramural NIH HHS ZIA HL006213
6 · The paper itself

Abstract

purposeLow-field (<1 tesla) MRI scanners allow more widespread diagnostic use for a range of cardiac, musculoskeletal, and neurological applications. However, the feasibility of performing robust fMRI at low field has yet to be fully demonstrated. To address this gap, we investigated task-based fMRI using a highly sensitive transition-band balanced steady-state free precession approach and standard EPI on a 0.55 tesla scanner equipped with modern high-performance gradient coils and a receive array.

methodsTR and flip-angle of transition-band steady-state free precession were optimized for 0.55 tesla by simulations. Static shimming was employed to compensate for concomitant field effects. Visual task-based fMRI data were acquired from 8 healthy volunteers. For comparison, standard EPI data were also acquired with TE =

resultsActivation was robustly detected using both methods in a 4-min scan time. Transition-band steady-state free precession was found to be sensitive to interference from subtle spatial and temporal (field drift, respiration) variations in the magnetic field, counteracting potential advantages of the reduced magnetic susceptibility effects compared to its utilization at high field. These adverse effects could be partially remedied with static shimming and postprocessing approaches. Standard EPI proved more robust against the sources of interference.

conclusionBOLD contrast is sufficiently large at 0.55 tesla for robust detection of brain activation and may be employed to broaden the spectrum of applications of low-field MRI. Standard EPI outperforms transition-band steady-state free precession in terms of signal stability.

Indexed as

Brain MappingMagnetic Resonance ImagingBrainHealthy VolunteersHumansRetrospective StudiesBOLD fMRIconcomitant fieldsEPIlow-field MRIphysiological noisesteady-state free precession (SSFP)

Identifiers

PMID33480108
PMCPMC7904622

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.